Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the infrastructure for 2026 and beyond. We're seeking visionary AI & Machine Learning Engineers to architect intelligent systems that redefine industries. In this pivotal role, you'll leverage bleeding-edge frameworks to develop scalable ML solutions, collaborate with cross-functional teams on autonomous systems, and pioneer next-gen AI applications that will shape the future. Our culture champions innovation, continuous learning, and boundary-pushing research in a state-of-the-art environment.
Responsibilities
- Design and implement scalable machine learning pipelines using Python, TensorFlow, and PyTorch
- Develop and deploy AI models for computer vision, NLP, and predictive analytics
- Collaborate with robotics engineers to integrate ML solutions with autonomous systems
- Optimize model performance through advanced MLOps and cloud architecture (AWS/Azure)
- Lead research initiatives in quantum computing applications for AI acceleration
- Mentor junior engineers and contribute to open-source ML frameworks
- Translate business requirements into technical specifications for AI solutions
Qualifications
- Master's or PhD in Computer Science, AI, or related field with 5+ years of ML engineering experience
- Expert proficiency in Python, deep learning frameworks, and distributed computing
- Proven track record deploying production-grade ML systems at scale
- Strong background in computer vision, NLP, and reinforcement learning
- Experience with MLOps tools (Kubernetes, MLflow, Airflow)
- Published research in top-tier AI/ML conferences or journals
- Ability to lead technical projects and drive innovation in ambiguous domains